The study validates the model using a 'hidden trial' method: it uses the 1989 land cover map to predict 1994, assesses the accuracy, and then iteratively manipulates the thresholds until the desired accuracy is met. This process is repeated across time slices (e.g., using 1994 actual to predict 1999).
Conditions: Historical land cover maps are available for multiple years.; The model requires calibration of transition thresholds.
The study validates the model using a 'hidden trial' method: it uses the 1989 land cover map to predict 1994, assesses the accuracy, and then iteratively manipulates the thresholds until the desired accuracy is met. This process is repeated across time slices (e.g., using 1994 actual to predict 1999).
Conditions: Historical land cover maps are available for multiple years.; The model requires calibration of transition thresholds.
Yes, the time step for prediction is flexible and can be set to 5, 10, or 15 years based on the user's specific requirements, rather than being fixed to the interval of the historical training data.
Conditions: The model has been calibrated using historical data.; The user defines the prediction time step.
Yes, the time step for prediction is flexible and can be set to 5, 10, or 15 years based on the user's specific requirements, rather than being fixed to the interval of the historical training data.
Conditions: The model has been calibrated using historical data.; The user defines the prediction time step.